Merge pull request #1657 from as-suvorov/asuvorov/pot-removal

andrei-kochin · web-flow · commit 8063ecba7a9f · 2024-01-29T14:06:13.000+04:00
Remove 111-yolov5-quantization-migration notebook
diff --git a/.ci/ignore_treon_docker.txt b/.ci/ignore_treon_docker.txt
@@ -1,6 +1,5 @@
 107-speech-recognition-quantization
 108-gpu-device
-111-yolov5-quantization-migration
 117-model-server
 122-quantizing-model-with-accuracy-control
 204-segmenter-semantic-segmentation
diff --git a/.ci/ignore_treon_linux.txt b/.ci/ignore_treon_linux.txt
@@ -1,6 +1,5 @@
 107-speech-recognition-quantization
 108-gpu-device
-111-yolov5-quantization-migration
 112-pytorch-post-training-quantization-nncf
 117-model-server
 122-quantizing-model-with-accuracy-control
diff --git a/.ci/ignore_treon_mac.txt b/.ci/ignore_treon_mac.txt
@@ -1,6 +1,5 @@
 107-speech-recognition-quantization
 108-gpu-device
-111-yolov5-quantization-migration
 117-model-server
 122-quantizing-model-with-accuracy-control
 204-segmenter-semantic-segmentation
diff --git a/.ci/ignore_treon_win.txt b/.ci/ignore_treon_win.txt
@@ -1,6 +1,5 @@
 107-speech-recognition-quantization
 108-gpu-device
-111-yolov5-quantization-migration
 117-model-server
 122-quantizing-model-with-accuracy-control
 204-segmenter-semantic-segmentation
diff --git a/README.md b/README.md
@@ -127,7 +127,6 @@ Tutorials that explain how to optimize and quantize models with OpenVINO tools.
 | [108-gpu-device](notebooks/108-gpu-device/) | Working with GPUs in OpenVINO™                                                                                              |
 | [109-performance-tricks](notebooks/109-performance-tricks/)| Performance tricks in OpenVINO™                                                                                             |
 | [110-ct-segmentation-quantize](notebooks/110-ct-segmentation-quantize/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F110-ct-segmentation-quantize%2F110-ct-scan-live-inference.ipynb) | Quantize a kidney segmentation model and show live inference                                                                | 
-| [111-yolov5-quantization-migration](notebooks/111-yolov5-quantization-migration)<br>[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/111-yolov5-quantization-migration/111-yolov5-quantization-migration.ipynb) | Migrate YOLOv5 POT API based quantization pipeline on Neural Network Compression Framework (NNCF)                           | <img src = "https://user-images.githubusercontent.com/44352144/177097174-cfe78939-e946-445e-9fce-d8897417ef8e.png"  width=225> |
 | [112-pytorch-post-training-quantization-nncf](notebooks/112-pytorch-post-training-quantization-nncf/) | Use Neural Network Compression Framework (NNCF) to quantize PyTorch model in post-training mode (without model fine-tuning) | 
 | [113-image-classification-quantization](notebooks/113-image-classification-quantization/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F113-image-classification-quantization%2F113-image-classification-quantization.ipynb)<br>[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/113-image-classification-quantization/113-image-classification-quantization.ipynb) | Quantize Image Classification model                                                                                     |
 | [115-async-api](notebooks/115-async-api/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F115-async-api%2F115-async-api.ipynb)<br>[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/115-async-api/115-async-api.ipynb) | Use Asynchronous Execution to Improve Data Pipelining                                                                       | |
diff --git a/README_cn.md b/README_cn.md
@@ -111,7 +111,6 @@ Jupyter notebooks 分为四个大类，选择一个跟你需求相关的开始
 | [108-gpu-device](notebooks/108-gpu-device/) | 在GPU上使用OpenVINO™                                                                                              |
 | [109-performance-tricks](notebooks/109-performance-tricks/)|  OpenVINO™ 的优化技巧                                                                                            |
 | [110-ct-segmentation-quantize](notebooks/110-ct-segmentation-quantize/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?filepath=notebooks%2F110-ct-segmentation-quantize%2F110-ct-scan-live-inference.ipynb) | 量化肾脏分割模型并展示实时推理                                                                | 
-| [111-yolov5-quantization-migration](notebooks/111-yolov5-quantization-migration)<br>[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/111-yolov5-quantization-migration/111-yolov5-quantization-migration.ipynb) | 在神经网络压缩框架(NNCF)上迁移基于YOLOv5 POT API的量化管道                           | <img src = "https://user-images.githubusercontent.com/44352144/177097174-cfe78939-e946-445e-9fce-d8897417ef8e.png"  width=225> |
 | [112-pytorch-post-training-quantization-nncf](notebooks/112-pytorch-post-training-quantization-nncf/) | 利用神经网络压缩框架(NNCF)在后训练模式下来量化PyTorch模型(无需模型微调) | 
 | [113-image-classification-quantization](notebooks/113-image-classification-quantization/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F113-image-classification-quantization%2F113-image-classification-quantization.ipynb) | 量化mobilenet图片分类模型                                                                                      |
 | [115-async-api](notebooks/115-async-api/)<br>[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/openvinotoolkit/openvino_notebooks/HEAD?labpath=notebooks%2F115-async-api%2F115-async-api.ipynb)<br>[![Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/openvinotoolkit/openvino_notebooks/blob/main/notebooks/115-async-api/115-async-api.ipynb) | 使用异步执行改进数据流水线                                                                        | |
diff --git a/notebooks/111-yolov5-quantization-migration/111-yolov5-quantization-migration.ipynb b/notebooks/111-yolov5-quantization-migration/111-yolov5-quantization-migration.ipynb
diff --git a/notebooks/111-yolov5-quantization-migration/README.md b/notebooks/111-yolov5-quantization-migration/README.md
